The ability to understand results using predictive models as a tool
can be critical to the application and the performance based on
determination according to the predictions by supporting a feasible
method. h The suitability to offer a predictive modeling approach for
characterization allows to identify how an analytical roadmap can
serve as guide to describe the model results according to the data
set implemented. h The evaluation of the suitable characteristics
pertaining to the data set can be described by the constraints in a
workload environment. h The parameters to create an investigative
framework to examine the environment includes the ability to
capture each factor.
This investigative framework allows for the examination of the
significant change in degree of differences. The impact of transition
segment measures includes the ability to address cognitive
awareness, systems awareness, and performance awareness. The
probability measures regarding degree of differences are evaluated
according to the matrix results for attention to environmental
workload capturing and identifying intensity of the control laws
inputs related to the degree rates. These measures related are
characterized to understand the practical activities intensity of
control laws (e.g., low intensity, medium intensity and/or high
intensity).
